LogDNA launched a new browser logging capability, which makes it easier for full-stack and frontend developers to ingest frontend log data in LogDNA to more efficiently debug web applications.
The code running on end-user devices has become increasingly complex, elevating the need for frontend logging capabilities. Although there are a multitude of observability tools and services for logging backend and server-based applications, there is a notable gap in visibility for client-side applications. LogDNA’s new Browser Logger addresses this need by automatically capturing errors and logs occurring in the user’s browser and allowing dev teams to centralize those errors alongside server-side logs. Full-stack and frontend developers gain valuable log data from the browser that can be used to effectively debug client-side errors.
“Customers struggle to extend their observability stack into their frontend web applications to monitor for client-side errors and collect critical debugging information. This makes it difficult to identify when problems occur, and troubleshooting errors becomes difficult and time-consuming,” said Peter Cho, VP of Product, LogDNA. “LogDNA Browser Logger makes it quick and painless to find and fix issues that span between frontend and backend applications so developers can spend less time debugging and more time on value-adding tasks.”
With this new data, developers can see errors with stack traces and correlate these errors with a specific application release or browser version. They can also log performance metrics in real time to discover how long specific user interface (UI) functionality takes on a customer’s device. As a result, developers are empowered to take immediate action to improve the performance of their web applications to deliver the best user experiences possible.
Combined with LogDNA’s extensive list of supported ingestion sources, this feature gives developers the information they need to better understand what’s happening at every layer of their applications. For example, Kubernetes shops can use Browser Logger to see frontend metrics, and the Kubernetes Enrichment feature to see Kubernetes events and metrics. Having visibility from the frontend app layer all the way down to the container orchestration layer is essential for teams working with a DevOps mindset where the same group is in charge of building, deploying, and maintaining applications.
With a higher level of granularity in tracking events and a lower cost per event compared to alternatives, LogDNA’s Browser Logger empowers developers to take immediate action to improve the performance of their web applications to deliver the best user experiences possible.
The Latest
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...